Neural System

Driver Fatigue

FDM1 · Detects closed eyes, yawning and signs of drowsiness in real time

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About this solution

Facial monitoring of drivers and operators to identify signs of fatigue and microsleep — eyes closed for a prolonged time, rising PERCLOS, frequent yawning — sounding alarms and notifying the control room before an accident happens.

  1. 1The face mesh (468 points) is computed on every frame.
  2. 2The EAR (Eye Aspect Ratio) measures eye openness with a per-person adaptive threshold.
  3. 3PERCLOS indicates the percentage of time with eyes closed (NHTSA standard for drowsiness).
  4. 4MAR detects yawns; the combination of signals determines alert, fatigued or drowsy.

Benefits

  • Prevents accidents caused by drowsiness — up to 20% of serious road accidents.
  • Immediate alerts at the workstation and in the monitoring center.
  • Fatigue metrics by shift for working-hours management.
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